Adam Zlatniczki
Lead Data Scientist PDU Data & Analytics
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolAdam Zlatniczki is a Lead Data Scientist with eight years of experience applying AI/ML to telecom problems at Ericsson while completing a PhD in Economic Dynamics and Causal Discovery. He drives cross-organization MLOps strategy, industrializes anomaly detection solutions, and has authored multiple patents and probabilistic models used for synthetic data simulation and testing. His background spans high-performance data pipelines, causal inference for neuroscience, and cryptanalysis-style traffic analytics, reflecting a knack for marrying rigorous theory with production-grade engineering. Outside work he builds AI-driven loan planning and smart home automation projects, illustrating a practical curiosity for optimization and distributed computation. Colocated in Budapest, he champions reproducible data-science practices—CI/CD, devcontainers, and code review—to scale research into measurable business value.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Economic dynamics Financial engineering Causal discovery, Doctor of Philosophy (Ph.D.) Economic dynamics Financial engineering Causal discovery at Budapest University of Technology and Economics
Hungarian, English, German
Github Skills (14)
home-assistant10
zigbee10
parsing10
jupyter-extension9
vscode-extension9
vscode9
sphinx-extension8
home-automation8
jupyter8
machine-learning6
sphinx5
markdown5
inference4
documentation4
Programming languages (3)
Github contributions (5)
adam-zlatniczki/dimensional_causality
Jun 2018 - Apr 2019
This project contains the implementation of the Dimensional Causality method proposed in Benko, Zlatniczki, Fabo, Solyom, Eross, Telcs & Somogyvari (2018) - Exact Inference of Causal Relation in Dynamical Systems.
Contributions:75 commits, 1 PR, 17 pushes in 10 months
inference
adam-zlatniczki/max_snr_portfolio
Jan 2023 - Feb 2025
Contributions:5 pushes in 2 years 1 month
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